Dr. Jurgen Pilz (born 1951, Langenau, Germany) is a distinguished statistician specializing in applied and spatial statistics. He earned his PhD (1978) and Doctor of Science (1988) in Mathematical Statistics from Technical University Bergakademie Freiberg. He served as Professor of Mathematical Geology at TU BAF (1989–1993) and was a Humboldt Fellow at the Free University of Berlin (1991–1992). From 1994 to 2020, he was Professor and Chair of Applied Statistics at Alpen-Adria University Klagenfurt, where he also headed the Department of Statistics, and he has been Emeritus Professor since 2020. Since 2021, he serves as Senior Lecturer at Carinthia University of Applied Sciences in the International Master’s Program in Applied Data Science. He has held several international guest professorships and serves on multiple editorial boards, and he is an elected member of the International Statistical Institute (ISI) and the Institute of Mathematical Statistics (IMS).
Research Interests +
Bayesian Statistics
Engineering Statistics
Spatial Statistics
Bayesian Deep Learning
Design of Experiments
Environmental Statistics
Scientific Activities +
Professor and Chair of Applied Statistics at Alpen-Adria University (AAU), Austria (1994–2020).
Head of the Department of Statistics at AAU (2007–2015, 2018–2019).
Emeritus Professor at Alpen-Adria University since 2020.
Senior Lecturer in the International Master’s Program Applied Data Science at Carinthia University of Applied Sciences since 2021.
Former Professor of Mathematical Geology at the Technical University Bergakademie Freiberg (1989–1993).
Publications +
Haque, U., Da Silva, P. F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., et al. The human cost of global warming:Deadly landslides and their triggers (1995–2014). Science of the Total Environment, Vol. 682, pp. 673–684, 2019.
Haque, U., Blum, P., Da Silva, P. F., Andersen, P., Pilz, J., Chalov, S. R., Malet, J.-P., et al. Fatal landslides in Europe. Landslides, Vol. 13, No. 6, pp. 1545–1554, 2016.
Pilz, J. Bayesian estimation and experimental design in linear regression models. John Wiley & Sons, Chichester & New York, 1991.
Pilz, J., Spöck, G. Why do we need and how should we implement Bayesian kriging methods. Stochastic Environmental Research and Risk Assessment, Vol. 22, No. 5, pp. 621–632, 2008.
Kazianka, H., Pilz, J. Copula-based geostatistical modeling of continuous and discrete data including covariates. Stochastic Environmental Research and Risk Assessment, Vol. 24, No. 5, pp. 661–673, 2010.
Bandemer, H., Bellmann, W., Jung, A., Näther, W., Pilz, J., Richter, K. Theorie und Anwendung der optimalen Versuchsplanung I. Akademie-Verlag, Berlin, 1977.
Pebesma, E., Cornford, D., Dubois, G., Heuvelink, G. B. M., Hristopulos, D., Pilz, J., et al. INTAMAP: The design and implementation of an interoperable automated interpolation web service. Computers & Geosciences, Vol. 37, No. 3, pp. 343–352, 2011.
Rasch, D., Pilz, J., Verdooren, L. R., Gebhardt, A. Optimal experimental design with R. CRC Press, 2011.
Pilz, J. Minimax linear regression estimation with symmetric parameter restrictions. Journal of Statistical Planning and Inference,Vol. 13, pp. 297–318, 1986.
Helgason, T., Lee, J., Smith, M. L., Moeller, A. T., Thorgeirsson, T., Hofer, V., Pilz, J., et al. Apparatus and method for analysis of size, form and angularity and for compositional analysis of mineral and rock particles.